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Search results for: ann
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Some engineering applications of ANN in CAD
PublicationW pracy przedstawiono zastosowanie sztucznych sieci neuronowych: dla obliczeń i doboru regulatora pneumatycznego, w optymalizacji pneumatycznych układów napędowych i w optymalizacji systemu amortyzacji siedziska.
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An agent-based approach to ANN training
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Application of ANN and PCA to two-phase flow evaluation using radioisotopes
PublicationIn the two-phase flow measurements a method involving the absorption of gamma radiation can be applied among others. Analysis of the signals from the scintillation probes can be used to determine the number of flow parameters and to recognize flow structure. Three types of flow regimes as plug, bubble, and transitional plug – bubble flows were considered in this work. The article shows how features of the signals in the time and...
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Implementation and performance evaluation of the agent-based algorithm for ANN training
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ANN for human pose estimation in low resolution depth images
PublicationThe paper presents an approach to localize human body joints in 3D coordinates based on a single low resolution depth image. First a framework to generate a database of 80k realistic depth images from a 3D body model is described. Then data preprocessing and normalization procedure, and DNN and MLP artificial neural networks architectures and training are presented. The robustness against camera distance and image noise is analysed....
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Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification
PublicationThis article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...
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On thermal and Flow Expert Systems Based on Artificial Neural Network (ANN)
PublicationZaprezentowano możliwość realizacji jednego z zadań systemów eksperckich, polegającego na określaniu rozmiaru eksploatacyjnej degradacji parametrów geometrycznych układów łopatkowych turbin. Dyskusję przeprowadzono w oparciu o zastosowanie wybranego typu sztucznej sieci neuronowej (SSN). Badano jakość i dokładność polegającą na dobrej identyfikacji rozmiaru degradacji przez tę wybraną SSN wykrywającą rozmiar degradacji geometrycznej....
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Approaches to experiment based friction modeling: polynomial approximation versus ann approximation
PublicationBadano warunki (poziom wymuszeń), przy których następowało wzbudzenie drgań mechanicznych przy tarciu ślizgowym konforemnego skojarzenia próbek wykonanych z Al2O3 (płaskie czoło tulei obracającej się względem swojej osi - powierzchnia płaska). Uzyskane dane eksperymentalne wykorzystano następnie do zbudowania modeli - stosując aproksymację wielomianami albo sztuczną siecią neuronową (ANN).
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Artificial Neural Network (ANN)-Based Voltage Stability Prediction of Test Microgrid Grid
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Application of artificial neural networks (ANN) as multiple degradation classifiers in thermal and flow diagnostics
PublicationPrzedyskutowano problem zwiększenia dokładności rozpoznawania wielokrotnych degradacji eksploatacyjnych urządzeń składowych dużych obiektów energetycznych. Zastosowani sieć neuronową (SSN) o skokowych funkcjach przejścia. Sprawdzono możliwości przyspieszenia treningu sieci neuronowych. Zastosowano modułową metodę budowy SSN, polegającą na dedykowaniu pojedynczej sieci do rozpoznawania tylko jednego typu degradacji.
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Design and Analysis of Artificial Neural Network (ANN) Models for Achieving Self-Sustainability in Sanitation
PublicationThe present study investigates the potential of using fecal ash as an adsorbent and demonstrates a self-sustaining, optimized approach for urea recovery from wastewater streams. Fecal ash was prepared by heating synthetic feces to 500 °C and then processing it as an adsorbent for urea adsorption from synthetic urine. Since this adsorption approach based on fecal ash is a promising alternative for wastewater treatment, it increases...
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ANN based evaluation of the NOx concentration in the exhaust gas of a marine two-stroke diesel engine
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Comparison of ANN Classifier to the Neuro-Fuzzy System for Collusion Detection in the Tender Procedures of Road Construction Sector
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Exergy and Energy Analyses of Microwave Dryer for Cantaloupe Slice and Prediction of Thermodynamic Parameters Using ANN and ANFIS Algorithms
PublicationThe study targeted towards drying of cantaloupe slices with various thicknesses in a microwave dryer. The experiments were carried out at three microwave powers of 180, 360, and 540 W and three thicknesses of 2, 4, and 6 mm for cantaloupe drying, and the weight variations were determined. Artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) were exploited to investigate energy and exergy indices of...
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An ANN-Based Approach for Prediction of Sufficient Seismic Gap between Adjacent Buildings Prone to Earthquake-Induced Pounding
PublicationEarthquake-induced structural pounding may cause major damages to structures, and therefore it should be prevented. This study is focused on using an artificial neural network (ANN) method to determine the sufficient seismic gap in order to avoid collisions between two adjacent buildings during seismic excitations. Six lumped mass models of structures with a different number of stories (from one to six) have been considered in...
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An ANN-Based Method for On-Load Tap Changer Control in LV Networks with a Large Share of Photovoltaics—Comparative Analysis
PublicationThe paper proposes a new local method of controlling the on-load tap changer (OLTC) of a transformer to mitigate negative voltage phenomena in low-voltage (LV) networks with a high penetration of photovoltaic (PV) installations. The essence of the method is the use of the load compensation (LC) function with settings determined via artificial neural network (ANN) algorithms. The proposed method was compared with other selected...
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A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels
PublicationBiodiesel has been emerging as a potential and promising biofuel for the strategy of reducing toxic emissions and improving engine performance. Computational methods aiming to offer numerical solutions were inevitable as a study methodology which was sometimes considered the only practical method. Artificial neural networks (ANN) were data-processing systems, which were used to tackle many issues in engineering and science, especially...
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Mai’a K. Davis Cross, Ireneusz Paweł Karolewski (red.), European-Russian Power Relations in Turbulent Times, University of Michigan Press, Ann Arbor 2021, ss. 311.
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Exposure Assessment to Glyphosate of Two Species of Annelids
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Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis
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Annotating Words Using WordNet Semantic Glosses
PublicationAn approach to the word sense disambiguation (WSD) relaying onthe WordNet synsets is proposed. The method uses semantically tagged glosses to perform a process similar to the spreading activation in semantic network, creating ranking of the most probable meanings for word annotation. Preliminary evaluation shows quite promising results. Comparison with the state-of-theart WSD methods indicates that the use of WordNet relations...
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DGO '24: Proceedings of the 25th Annual International Conference on Digital Government Research
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An annotated timeline of sensitivity analysis
PublicationThe last half a century has seen spectacular progresses in computing and modelling in a variety of fields, applications, and methodologies. Over the same period, a cross-disciplinary field known as sensitivity analysis has been making its first steps, evolving from the design of experiments for laboratory or field studies, also called ‘in-vivo’, to the so-called experiments ‘in-silico’. Some disciplines were quick to realize the...
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Cats kill millions of vertebrates in Polish farmland annually
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Evaluation Criteria for Affect-Annotated Databases
PublicationIn this paper a set of comprehensive evaluation criteria for affect-annotated databases is proposed. These criteria can be used for evaluation of the quality of a database on the stage of its creation as well as for evaluation and comparison of existing databases. The usefulness of these criteria is demonstrated on several databases selected from affect computing domain. The databases contain different kind of data: video or still...
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Evaluation of the separation algorithm performance employing ANNs
PublicationCelem niniejszego rozdziału jest przedstawienie metodyki separacji dźwięków muzycznych bez informacji a priori o dźwiękach zawartych w muzycznym miksie. W pracy pokazano, że prawidłowo wytrenowana sztuczna sieć neuronowa (SNN)jest w stanie w sposób automatyczny poprawnie sklasyfikować dźwięki zawarte w zmiksowanym sygnale. Skuteczność klasyfikacji SNN jest porównywalna z oceną subiektywną ekspertów.
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Comparing the Effectiveness of ANNs and SVMs in Forecasting the Impact of Traffic-Induced Vibrations on Building
PublicationTraffic - induced vibrations may cause damage to structural elements and may even lead to structural collapse. The aim of the article is to compare the effectiveness of algorithms in forecasting the impact of vibrations on buildings using the Machine Learning (ML) methods. The paper presents two alternative approaches by using Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs). Factors that may affect traffic-induced...
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Umysł otwarty. Z dr. hab. Zbigniewem Kaźmierczykiem, prof. UG, rozmawia Anna Burzyńska
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Modelling of dryout process in an annular flow
PublicationW pracy pokazano teoretyczny model kryzysu wrzenia przy wysokich stopniach suchości, który jest modyfikacją modelu proponowanego wcześniej przez Sedlera i Mikielewicza. Model wysychania filmu cieczowego w przepływie pierścieniowym składa się z różniczkowych równań bilansu masy zapisanych dla filmu na ściance i kropel w rdzeniu przepływu. Rozwiązanie układu równań wymaga znajomości gęstości strumienia masy kropel wytrącających się...
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Dryout in annular flow - theoretical analysis
PublicationW pracy zaprezentowano model kryzysu wrzenia w przepływie pierścieniowym, obowiązujący dla wysokich wartości stopnia suchości i stanowiący modyfikację wcześniejszej wersji modelu zaproponowanego przez Sedlera i Mikielewicza. Model ten uwzględnia bilans masy w filmie cieczowym i bilans masy dla kropel cieczy w rdzeniu przepływu oraz zawiera dodatkowy człon odpowiedzialny za odparowanie filmu na ściance kanału. Rozwiązanie układu...
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Modelling of dryout process in annular flow
PublicationW pracy pokazano teoretyczny model kryzysu wrzenia przy wysokich stopniach suchości, który jest modyfikacją modelu proponowanego wcześniej przez Sedlera i Mikielewicza. Model wysychania filmu cieczowego w przepływie pierścieniowym składa się z różniczkowych równań bilansu masy zapisanych dla filmu na ściance i kropel w rdzeniu przepływu. Rozwiązanie układu równań wymaga znajomości gęstości strumienia masy kropel wytrącających się...
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Rapid Surrogate-Aided Multi-Criterial Optimization of Compact Microwave Passives Employing Machine Learning and ANNs
PublicationThis article introduces an innovative method for achieving low-cost and reliable multi-objective optimization (MO) of microwave passive circuits. The technique capitalizes on the attributes of surrogate models, specifically artificial neural networks (ANNs), and multi-resolution electromagnetic (EM) analysis. We integrate the search process into a machine learning (ML) framework, where each iteration produces multiple infill points...
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Image simulation and annotation for color blinded
PublicationW pracy przedstawiono metody symulacji obrazów widzianych przez osoby ze ślepota barw. Ukazano również metody tworzenia obrazów ukazujących różnicę w percepcji kolorów pomiędzy normalnym obserwatorem a osobą ze ślepotą barw. W artykule opisano również metodę interaktywnego opisu koloru wskazywanego piksela obrazu. W rezultacie użytkownik ze ślepota barw może uzyskać informacje opisowe o występujących w obrazie kolorach.
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Image simulation and annotation for color blinded
PublicationIn this paper methods for image simulation as seen by a color blinded and a method for constructing images of perceived color difference are presented. The work is also focused on the interactive color description of an image contents. As a result, the individuals having problems with color discrimination can identify colors in an image.W artykule prezentowane są metody symulacji kolorów w obrazach postrzeganych przez osoby ze...
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Brief Announcement: Energy Constrained Depth First Search
PublicationDepth first search is a natural algorithmic technique for constructing a closed route that visits all vertices of a graph. The length of such route equals, in an edge-weighted tree, twice the total weight of all edges of the tree and this is asymptotically optimal over all exploration strategies. This paper considers a variant of such search strategies where the length of each route is bounded by a positive integer B (e.g. due...
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Physicochemical Properties and Digestion Resistance of Acetylated Starch Obtained from Annealed Starch
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Positron Scattering and Annihilation in Organic Molecules
PublicationIn this paper, we address the problem of connecting positron lifetimes in liquids with collision cross sections in gases. We present the analyses of annihilation lifetime spectra of positrons in the liquid benzene, c-hexane, n-hexane, methanol and ethanol and calculations of scattering cross sections of positrons with benzene and c-hexane in the gas phase.
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Experimental and theoretical analysis of dryout in annular flow
PublicationW pracy opisano badania eksperymentalne kryzysu wrzenia typu dryout, przeprowadzone w pionowych rurkach o średnicy wewnętrznej 1.15 i 2.3 mm z wykorzystaniem dwóch czynników roboczych, tj. SES36 i R123. W oparciu o wyniki tych badań zaproponowano ogólną korelację na krytyczny strumień ciepła w minikanałach.
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Effects of artificial lighting on bioactivity of sweet red pepper (Capsicum annuum L.)
PublicationRecent studies have shown that artificial light effectively promotes the growth and development of red peppers when light spectra, intensities and duration are controlled. Cited reports deal mostly with studies involving with the growth stages of pepper. Changes in the biochemical status of plants were not studied. Therefore, this study focuses on the changes in the content of some bioactive compounds (polyphenols, flavonoids,...
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Medical Image Dataset Annotation Service (MIDAS)
PublicationMIDAS (Medical Image Dataset Annotation Service) is a custom-tailored tool for creating and managing datasets either for deep learning, as well as machine learning or any form of statistical research. The aim of the project is to provide one-fit-all platform for creating medical image datasets that could easily blend in hospital's workflow. In our work, we focus on the importance of medical data anonimization, discussing the...
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60th anniversary of Department of Manufacturing Engineering and Automation
PublicationThe paper presents the outline history of Department of Manufacturing Engineering and Automation of the Gdansk University of Technology over the span of 60 years - throughout the period 1945-2006.
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Efficient Algorithm for Microarray Probes Re-annotation
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An Efficient Algorithm for Microarray Probes Re-annotation
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AFM, XRD and HRTEM studies of annealed FePd thin films
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AffecTube — Chrome extension for YouTube video affective annotations
PublicationThe shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...
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Synthesis and photochemical characteristics of novel tribenzoporphyrazines possessing peripherally annulated tetrahydrodiazepine and diazepine rings
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Cobalt Content Effect on the Magnetic Properties of Ni50-xCoxMn35.5In14.5 Annealed Ribbons
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Dwa prestiżowe stanowiska dr Anny Wałek, dyrektor Biblioteki PG
PublicationArtykuł prezentuje sukcesy zawodowe dr Anny Wałek, Dyrektor Biblioteki Politechniki Gdańskiej, która w 2021 r. została wybrana na Prezydenta International Association of University Libraries (od stycznia 2022 r.) oraz Przewodniczącą Rady Dyrektorów Polskiej Grupy Użytkowników systemu VIRTUA (od czerwca 2021 r.)
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ADVANCES IN MATERIALS SCIENCE EDITORIAL ON THE JOURNAL'S 20th ANNIVERSARY
PublicationEditorial on the occasion of the 20th anniversary of Advances in Materials Science journal.
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Semantic segmentation training using imperfect annotations and loss masking
PublicationOne of the most significant factors affecting supervised neural network training is the precision of the annotations. Also, in a case of expert group, the problem of inconsistent data annotations is an integral part of real-world supervised learning processes, well-known to researchers. One practical example is a weak ground truth delineation for medical image segmentation. In this paper, we have developed a new method of accurate...